Make vs Openhuman
OpenHuman is not a drop-in replacement for Make. Choose OpenHuman for local-first personal AI, persistent on-device memory, agent orchestration, and approval-gated visual workflows; choose Make when the priority is broad cross-application automation, a documented 3,000-plus connector catalog, templates, or stated enterprise compliance coverage. The central tradeoff is greater local control and AI-agent specialization
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Openhuman if
- Individuals wanting a desktop AI assistant with local persistent memory and visual, agent-proposed workflows.
- Teams needing trigger-driven workflows that survive restarts and require approval before side effects.
- Users orchestrating multiple AI agents through checkpointed graphs, MCP servers, and OAuth-connected applications, with local-model or bring-your-own-key options.
Stay with Make if
- Your automations depend on Make’s documented catalog of more than 3,000 pre-built app integrations; OpenHuman documents 100-plus OAuth integrations alongside MCP servers and Skills, but that does not establish equivalent
- You need a documented workflow-template library; none is described for OpenHuman in the supplied materials.
- You require stated GDPR, SOC 3, or SOC 2 Type II coverage; equivalent claims are not documented for OpenHuman here and must not be inferred from local storage or encryption features from another provider.
Deployment and operations
OpenHuman is a self-hostable, GPL-3.0 Rust project distributed through downloadable installers and terminal installation options including Homebrew, Debian/Ubuntu packages, AUR, and scripts. Source development requires Node.js 24+, pnpm 10.10.0, Rust 1.93.0, CMake, Ninja, ripgrep, platform desktop prerequisites, and Git submodules. Docker and Kubernetes support are not documented in the supplied facts. Enterprise pricing lists on-premise deployment, while hosted model, API, and search usage may
Feature fit
What Openhuman covers
- Visual multi-step workflows
- Trigger-driven workflow execution
- Application and data connections
- AI-agent orchestration
- Human approval gates
What’s different or missing
- No documented 3,000-plus pre-built connector catalog
- No documented workflow-template library
- No documented SOC 2 Type II, SOC 3, or GDPR claims
- No documented Make workflow importer
Project snapshot
- GitHub stars
- 36,306
- Contributors
- 150
- Language
- Rust
- Last commit
- Aug 15, 2026
- Latest release
- Aug 7, 2026
Categories: Workflow Automation
Sources and editorial review11 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
OpenHuman is ... a fantastic orchestrator that runs fleets of agents on durable graphs.
readme · github.com100+ OAuth integrations, 5,000+ MCP servers, 90,000+ Skills
readme · github.comSaved workflows are durable and trigger-driven. They fire on schedules, webhooks, or channel events, survive restarts, and gate side effects behind approvals.
readme · github.comGraphs, not loops: turns run as checkpointed graphs ... They pause for a human, survive a restart, and resume mid-run.
readme · github.comDownload installers from tinyhumans.ai/openhuman or from the GitHub Releases page.
readme · github.comOpenHuman is three things most assistants aren't: **a brain** that builds a persistent, local memory of your world; **a fantastic orchestrator** that runs fleets of agents on durable graphs; and **a deep researcher** that sweeps your data and the web before you finish asking.
verdict · github.comSaved workflows are durable and trigger-driven. They fire on schedules, webhooks, or channel events, survive restarts, and gate side effects behind approvals.
shared feature · github.comDownload installers from [tinyhumans.ai/openhuman](https://tinyhumans.ai/openhuman?utm_source=github&utm_medium=readme) or from the [GitHub Releases](https://github.com/tinyhumansai/openhuman/releases/latest) page. For terminal installs (Homebrew, Debian/Ubuntu `.deb`, AUR, install scripts, and
deployment · github.com> **Early Beta**: Under active development. Expect rough edges.
deployment · github.comEnterprise Custom For teams with scale, security, and compliance needs. Everything in Pro Priority support On-premise deployment Custom credits & limits Custom rate limits SSO / SAML & dedicated onboarding
deployment · tinyhumans.aiThe agent proposes the automation; you review it on a canvas and save. Durable, trigger-driven, approval-gated runs on open-source [tinyflows](https://github.com/tinyhumansai/tinyflows).
best for · github.com
